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210512 ||| eng |
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|a books978-3-03936-751-1
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| 020 |
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|a 9783039367504
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|a 9783039367511
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| 100 |
1 |
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|a Belussi, Alberto
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| 245 |
0 |
0 |
|a Distributed and Parallel Architectures for Spatial Data
|h Elektronische Ressource
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| 260 |
|
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (170 p.)
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| 653 |
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|a watershed analysis
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| 653 |
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|a parallel processing
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| 653 |
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|a geoportal
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| 653 |
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|a arable land quality (ALQ)
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| 653 |
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|a distributed processing technique
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| 653 |
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|a IoT
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| 653 |
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|a big data
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| 653 |
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|a spatial big data
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| 653 |
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|a soil erosion modelling
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| 653 |
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|a parallel computing
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| 653 |
|
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|a History of engineering and technology / bicssc
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| 653 |
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|a CUDA
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| 653 |
|
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|a location-based aggregate queries
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| 653 |
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|a MapReduce-based aggregate query algorithm
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| 653 |
|
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|a geospatial data
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| 653 |
|
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|a GIS
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| 653 |
|
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|a MapReduce
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| 653 |
|
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|a mobility analytics
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| 653 |
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|a tile-pyramid
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| 653 |
|
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|a geospatial big data
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| 653 |
|
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|a data warehouses
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| 653 |
|
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|a real-time
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| 653 |
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|a grid structure
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| 653 |
|
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|a Hadoop
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| 653 |
|
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|a geospatial applications
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| 653 |
|
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|a mobility
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| 653 |
|
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|a spatiotemporal OLAP
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| 653 |
|
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|a buffer analysis
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| 653 |
|
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|a multiple flow accumulation
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| 653 |
|
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|a OpenACC
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| 653 |
|
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|a GPU
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| 653 |
|
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|a Agenda 2063
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| 653 |
|
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|a DEM
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| 653 |
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|a visualization-oriented
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| 653 |
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|a monitoring and evaluation
|
| 653 |
|
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|a sustainable development
|
| 700 |
1 |
|
|a Migliorini, Sara
|
| 700 |
1 |
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|a Carra, Damiano
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| 700 |
1 |
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|a Clementini, Eliseo
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
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|a 10.3390/books978-3-03936-751-1
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/68939
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/2706
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 900
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| 082 |
0 |
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|a 333
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| 082 |
0 |
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|a 600
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| 082 |
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|a 620
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| 520 |
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|a This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data.
|